Detection of IoT-Botnet Attacks Using Fuzzy Rule Interpolation M Al-kasassbeh, M Almseidin, K Alrfou, S Kovacs Journal of Intelligent & Fuzzy Systems, 2020 | 49 | 2020 |
A Review of Application of Machine Learning in Design, Synthesis, and Characterization of Metal Matrix Composites: Current Status and Emerging Applications A Kordijazi, T Zhao, J Zhang, K Alrfou, P Rohatgi JOM, 2021 | 34 | 2021 |
A comparative study of agile methods: XP versus SCRUM M Almseidin, K Alrfou, N Alnidami, A Tarawneh International Journal of Computer Science and Software Engineering (IJCSSE …, 2015 | 29 | 2015 |
Synergy of unsupervised and supervised machine learning methods for the segmentation of the graphite particles in the microstructure of ductile iron K Alrfou, A Kordijazi, P Rohatgi, T Zhao Materials Today Communications 30, 103174, 2022 | 13 | 2022 |
Computer vision methods for the microstructural analysis of materials: The state-of-the-art and future perspectives K Alrfou, A Kordijazi, T Zhao arXiv preprint arXiv:2208.04149, 2022 | 6 | 2022 |
Transfer Learning for Microstructure Segmentation with CS-UNet: A Hybrid Algorithm with Transformer and CNN Encoders K Alrfou, T Zhao, A Kordijazi arXiv preprint arXiv:2308.13917, 2023 | 1 | 2023 |
CS-UNet: A generalizable and flexible segmentation algorithm K Alrfou, T Zhao, A Kordijazi Multimedia Tools and Applications, 1-28, 2024 | | 2024 |
DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation M Almseidin, J Al-Sawwa, M Alkasassbeh, M Alzubi, K Alrfou Journal of Network and Systems Management 32 (1), 14, 2024 | | 2024 |